Abstract:

The Intrinsic Bayes Factor (IBF) has been recently introduced by Berger and Pericchi (1996) for
automatic model selection and hypothesis testing in a Bayesian framework. A major result is the
existence, in hypothesis testing problems, of an Intrinsic Proper The Intrinsic Bayes Factor (IBF) has been recently introduced by Berger and Pericchi (1996) for
automatic model selection and hypothesis testing in a Bayesian framework. A major result is the
existence, in hypothesis testing problems, of an Intrinsic Proper Prior (JPP) that can be obtained
from the IBF in an automatic way. In this article we describe the IBF and compute the IPP in a
simple example. It is the hope that the present article will help in making Bayesian methods more
widely used for Testing Hypothesis.[+][-]